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Data Landscape — Open Standards for Modern Data Architecture
An opinionated, interactive map of the open standards that power a modern data architecture. Curated by Entropy Data. Source of truth: https://www.data-landscape.com/standards.json (JSON, machine-readable, freely fetchable).
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.data-landscape.com/llms.txt
- llms-full.txt
- https://www.data-landscape.com/llms-full.txt
- Sections
- 4
- Links
- 82
- Size
- 33365 bytes
- Registered
- 2026-04-30
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- Data and analytics
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- First seen
- 2026-10-27T13:52:32.304Z
- Last checked
- 2026-10-27T13:52:41.443Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T13:52:35.596Z. Cached copy · Source on data-landscape.com
# Data Landscape — Open Standards for Modern Data Architecture
An opinionated, interactive map of the open standards that power a modern data architecture. Curated by Entropy Data. Source of truth: https://www.data-landscape.com/standards.json (JSON, machine-readable, freely fetchable).
Each standard carries a judgement — Adopt, Situational, Assess, or Caution — with a one-line rationale, and has its own page at https://www.data-landscape.com/standards/<slug>/. For the full per-standard prose, status, and links in a single fetch, see https://www.data-landscape.com/llms-full.txt.
- Site: https://www.data-landscape.com/
- Data: https://www.data-landscape.com/standards.json
- Full text: https://www.data-landscape.com/llms-full.txt
- Industry ontologies: https://www.data-landscape.com/industry-ontologies.html
- Regulation sub-landscape: https://www.data-landscape.com/regulation.html (data: https://www.data-landscape.com/regulation.json)
- Sitemap: https://www.data-landscape.com/sitemap.xml
- Data last updated: August 2026 (2026-08-12)
## What the judgements mean
- **Adopt** — The standard to reach for in new work. Proven, multi-vendor, clearly the default for its slot.
- **Situational** — The right answer in some contexts but not others. Pick deliberately based on the constraint.
- **Assess** — Promising but not yet proven for production-default use. Track it and prototype, but don't commit your architecture.
- **Caution** — We'd avoid it for new work — superseded or fading, but still encountered in existing systems.
## Standards by category
### Query
Category page: https://www.data-landscape.com/categories/query/
- [SQL](https://www.data-landscape.com/standards/sql/) — Structured Query Language. Governance: ANSI / ISO/IEC 9075. **Adopt — The universal data query language; not a decision.** _adopt_
- [MDX](https://www.data-landscape.com/standards/mdx/) — Multidimensional Expressions. Governance: Originally Microsoft (1997); referenced by the XMLA specification. **Caution — Multidimensional query language; surviving only in MS Analysis Services.** _caution, legacy_
- [Substrait](https://www.data-landscape.com/standards/substrait/) — Substrait. Governance: Substrait Project (independent; ASF-inspired PMC). **Situational — Cross-engine query-plan IR — pick when you're building or integrating engines that need a portable plan format; end users rarely touch it.** _situational, niche_
- [SPARQL](https://www.data-landscape.com/standards/sparql/) — SPARQL Protocol and RDF Query Language. Governance: W3C. **Situational — Query RDF; right when your data lives in triples.** _situational_
- [GQL](https://www.data-landscape.com/standards/gql/) — Graph Query Language. Governance: ISO/IEC 39075:2024. **Situational — Vendor-neutral property-graph query language — pick when your stack is already on graph databases.** _situational, niche_
### Observability
Category page: https://www.data-landscape.com/categories/observability/
- [OpenTelemetry](https://www
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